code: def test_token_padding_lengths_are_computed_correctly(self):
      field = TextField(
          [Token(t) for t in ["A", "sentence"]],
          token_indexers={
              "field_with_dict": DictReturningTokenIndexer(
                  token_min_padding_length=3
              ),
              "words": SingleIdTokenIndexer(
                  "words", token_min_padding_length=3
              ),
              "characters": TokenCharactersIndexer(
                  "characters",
                  min_padding_length=1,
                  token_min_padding_length=3,
              ),
          },
      )
      field.index(self.vocab)
      padding_lengths = field.get_padding_lengths()
      assert padding_lengths == {
          "field_with_dict___token_ids": 5,
          "field_with_dict___additional_key": 3,
          "words___tokens": 3,
          "characters___token_characters": 3,
          "characters___num_token_characters": 8,
      }
      tensors = field.as_tensor(padding_lengths)
      assert (
          tensors["field_with_dict"]["additional_key"].tolist()[-1] == 0
      )
      assert tensors["words"]["tokens"].tolist()[-1] == 0
      assert (
          tensors["characters"]["token_characters"].tolist()[-1]
          == [0] * 8
      )
  
imports: from collections import defaultdict
  from typing import Dict, List
  import numpy
  import pytest
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Token, Vocabulary
  from allennlp.data.fields import TextField
  from allennlp.data.token_indexers import SingleIdTokenIndexer, TokenCharactersIndexer, TokenIndexer
label_desc: Use image node_id 13 for calling the TestTextField obj's underlying member method code with example usage: obj.test_token_padding_lengths_are_computed_correctly() without return types